edu.uci.ics.jung.algorithms.importance
Class AbstractRanker<V,E>
- java.lang.Object
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- edu.uci.ics.jung.algorithms.util.IterativeProcess
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- edu.uci.ics.jung.algorithms.importance.AbstractRanker<V,E>
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- All Implemented Interfaces:
- IterativeContext
- Direct Known Subclasses:
- BetweennessCentrality, RelativeAuthorityRanker, WeightedNIPaths
public abstract class AbstractRanker<V,E> extends IterativeProcess
Abstract class for algorithms that rank nodes or edges by some "importance" metric. Provides a common set of services such as:- storing rank scores
- getters and setters for rank scores
- computing default edge weights
- normalizing default or user-provided edge transition weights
- normalizing rank scores
- automatic cleanup of decorations
- creation of Ranking list
- print rankings in sorted order by rank
By default, all rank scores are removed from the vertices (or edges) being ranked.
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Constructor Summary
Constructors Constructor and Description AbstractRanker()
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Method Summary
All Methods Instance Methods Abstract Methods Concrete Methods Modifier and Type Method and Description doublegetEdgeRankScore(E e)doublegetEdgeRankScore(E e, java.lang.Object key)java.util.Map<java.lang.Object,java.util.Map<E,java.lang.Number>>getEdgeRankScores()java.util.Map<E,java.lang.Number>getEdgeRankScores(java.lang.Object key)java.util.Map<E,java.lang.Number>getEdgeWeights()java.util.List<Ranking<?>>getRankings()Retrieves the list of ranking instances in descending sorted order by rank score If the algorithm is ranking edges, the instances will be of typeEdgeRanking, otherwise if the algorithm is ranking nodes the instances will be of typeNodeRankingabstract java.lang.ObjectgetRankScoreKey()The user datum key used to store the rank score.java.util.List<java.lang.Double>getRankScores(int topKRankings)Return a list of the top k rank scores.doublegetVertexRankScore(V v)Given a node, returns the corresponding rank score.doublegetVertexRankScore(V v, java.lang.Object key)java.util.Map<java.lang.Object,java.util.Map<V,java.lang.Number>>getVertexRankScores()java.util.Map<V,java.lang.Number>getVertexRankScores(java.lang.Object key)booleanisRankingEdges()booleanisRankingNodes()voidprintRankings(boolean verbose, boolean printScore)Print the rankings to standard out in descending order of rank scorevoidreset()voidsetEdgeWeights(java.util.Map<E,java.lang.Number> edgeWeights)voidsetNormalizeRankings(boolean normalizeRankings)Allows the user to specify whether or not s/he wants the rankings to be normalized.voidsetRemoveRankScoresOnFinalize(boolean removeRankScoresOnFinalize)Instructs the ranker whether or not it should remove the rank scores from the nodes (or edges) once the ranks have been computed.-
Methods inherited from class edu.uci.ics.jung.algorithms.util.IterativeProcess
done, evaluate, getDesiredPrecision, getIterations, getMaximumIterations, getPrecision, hasConverged, relativePrecision, setDesiredPrecision, setMaximumIterations, setPrecision, step
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Method Detail
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getVertexRankScores
public java.util.Map<java.lang.Object,java.util.Map<V,java.lang.Number>> getVertexRankScores()
- Returns:
- all rankScores
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getEdgeRankScores
public java.util.Map<java.lang.Object,java.util.Map<E,java.lang.Number>> getEdgeRankScores()
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getVertexRankScores
public java.util.Map<V,java.lang.Number> getVertexRankScores(java.lang.Object key)
- Parameters:
key- the rank score key whose scores are to be retrieved- Returns:
- the rank scores for the specified key
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getEdgeRankScores
public java.util.Map<E,java.lang.Number> getEdgeRankScores(java.lang.Object key)
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reset
public void reset()
- Overrides:
resetin classIterativeProcess
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isRankingNodes
public boolean isRankingNodes()
- Returns:
trueif this ranker ranks nodes, andfalseotherwise.
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isRankingEdges
public boolean isRankingEdges()
- Returns:
trueif this ranker ranks edges, andfalseotherwise.
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setRemoveRankScoresOnFinalize
public void setRemoveRankScoresOnFinalize(boolean removeRankScoresOnFinalize)
Instructs the ranker whether or not it should remove the rank scores from the nodes (or edges) once the ranks have been computed.- Parameters:
removeRankScoresOnFinalize-trueif the rank scores are to be removed,falseotherwise
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getRankScoreKey
public abstract java.lang.Object getRankScoreKey()
The user datum key used to store the rank score.- Returns:
- the key
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getRankings
public java.util.List<Ranking<?>> getRankings()
Retrieves the list of ranking instances in descending sorted order by rank score If the algorithm is ranking edges, the instances will be of typeEdgeRanking, otherwise if the algorithm is ranking nodes the instances will be of typeNodeRanking- Returns:
- the list of rankings
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getRankScores
public java.util.List<java.lang.Double> getRankScores(int topKRankings)
Return a list of the top k rank scores.- Parameters:
topKRankings- the value of k to use- Returns:
- list of rank scores
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getVertexRankScore
public double getVertexRankScore(V v)
Given a node, returns the corresponding rank score. This is a default implementation of getRankScore which assumes the decorations are of type MutableDouble. This method only returns legal values ifsetRemoveRankScoresOnFinalize(false)was called prior toevaluate().- Parameters:
v- the node whose rank score is to be returned.- Returns:
- the rank score value
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getVertexRankScore
public double getVertexRankScore(V v, java.lang.Object key)
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getEdgeRankScore
public double getEdgeRankScore(E e)
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getEdgeRankScore
public double getEdgeRankScore(E e, java.lang.Object key)
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setEdgeWeights
public void setEdgeWeights(java.util.Map<E,java.lang.Number> edgeWeights)
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getEdgeWeights
public java.util.Map<E,java.lang.Number> getEdgeWeights()
- Returns:
- the edgeWeights
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printRankings
public void printRankings(boolean verbose, boolean printScore)Print the rankings to standard out in descending order of rank score- Parameters:
verbose- iftrue, include information about the actual rank order as well as the original position of the vertex before it was rankedprintScore- iftrue, include the actual value of the rank score
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setNormalizeRankings
public void setNormalizeRankings(boolean normalizeRankings)
Allows the user to specify whether or not s/he wants the rankings to be normalized. In some cases, this will have no effect since the algorithm doesn't allow normalization as an option- Parameters:
normalizeRankings-trueiff the ranking are to be normalized
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